A modified maximum correlation modeling method for fMRI brain mapping; application for detecting dyslexia

Functional magnetic resonance imaging (fMRI) is one of technologies that have proved to be helpful in studying the brain functions. In this paper, we have designed a hierarchical method that applies an optimization algorithm based on modified maximum correlation model (MCM) that can detect small variations across the two study groups. Based on the proposed method, we also hypothesize that dyslexia might represent fMRI brain signal activities in specific regions of the brain that are distinguishable from healthy brain fMRIpsilas. We have successfully tested our hypothesis using the proposed method on a dataset containing the fMRI of both healthy and dyslexic subjects.